EP 3777067 A1 20210217 - DEVICE AND METHOD FOR ANOMALY DETECTION ON AN INPUT STREAM OF EVENTS
Title (en)
DEVICE AND METHOD FOR ANOMALY DETECTION ON AN INPUT STREAM OF EVENTS
Title (de)
VORRICHTUNG UND VERFAHREN ZUR ANOMALIEDETEKTION AUF EINEM EINGABESTROM VON EREIGNISSEN
Title (fr)
DISPOSITIF ET PROCÉDÉ DE DÉTECTION D'ANOMALIE SUR UN FLUX D'ÉVÉNEMENTS D'ENTRÉE
Publication
Application
Priority
EP 2018072987 W 20180827
Abstract (en)
[origin: WO2020043267A1] The present invention relates to the field of artificial intelligence, machine learning and Big Data, and provides a device (100) and method (300) for anomaly detection, performed in a stream of events. To this end, the device 100 for anomaly detection on an input stream (101) of events (102) is provided, wherein each event (102) comprises a value (103). The device (100) comprises a modeling unit (104), configured to represent each event 102 from the input stream (101) of events (102) into at least one histogram (105) over a predefined tree data structure (106), to obtain a model 107 of the input stream (101); a change detection and adaptation module (108), configured to detect a long term change (109) of the distribution of the events (102) in the input stream 101 based on the model (107) of the input stream (101); and a scoring unit (110), configured to calculate an anomaly score (111), representing the probability of an anomaly in the input stream (101) of events (102), based on the model (107) of the input stream (101), and the detected long term change (109).
IPC 8 full level
H04L 29/06 (2006.01)
CPC (source: EP US)
G06F 18/2178 (2023.01 - US); G06F 18/24323 (2023.01 - US); G06N 20/00 (2018.12 - US); H04L 63/1425 (2013.01 - EP US)
Citation (search report)
See references of WO 2020043267A1
Designated contracting state (EPC)
AL AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HR HU IE IS IT LI LT LU LV MC MK MT NL NO PL PT RO RS SE SI SK SM TR
Designated extension state (EPC)
BA ME
DOCDB simple family (publication)
WO 2020043267 A1 20200305; CN 112640380 A 20210409; CN 112640380 B 20220819; EP 3777067 A1 20210217; US 2021124983 A1 20210429
DOCDB simple family (application)
EP 2018072987 W 20180827; CN 201880097072 A 20180827; EP 18762056 A 20180827; US 202117140882 A 20210104